Geomatics techniques for evaluation of road pavement rutting (original) (raw)
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Predictive method for evaluation of pavement rutting
Pavement rutting not only decreases the road service life but also creates a danger for the security of road users. In recent years, pavement rutting rate has increased significantly due to constant traffic intensity increment. It is well known that the increase in heavy vehicles flow, transported load, tyre pressure and the use of single tyres instead of dual tyres induce considerable pressure within bituminous layers. Due to these solicitations, bituminous layers can quickly attain their permanent deformation limit resistance and this phenomenon can lead to a pavement depression, located in the tyre-road contact surface. The purpose of this paper is to present a methodology to estimate the rutting of bituminous pavements and to be able to predict the rutting risk considering the results obtained with the LPC traffic simulator and taking into account the traffic and environmental characteristics. The traffic characteristics are represented by the total heavy traffic expressed in eq...
Rut Appearance on Pavement Surface and Measurements on Motorway A-4 in Macedonia
2014
Within The Pavement Management System, transversal roughness - the rut depth of pavement surfaces is one of the indicators for assessing the condition of the roads which determines their driving performance. Since the rut collects and retains water (instead drainage), the depth or amount of retained water on the pavement surface has a crucial influence on the creation of aquaplaning and disorder of traffic safety. The measurements of roughness were made on the motorway A-4 that passes though Republic of Macedonia which is part of the international road E-65 (length 14,2 km) with the measuring apparatus high-speed inertial profiler (The Dynatest Road Surface Profilometer). The evaluation of the condition of the pavement surface in terms of transversal roughness – rut depth was conducted by Slovenian criteria for rut depth (TSC 06.610:2003). The results from the evaluation of the measurements showed that the pavement surface is heterogeneous represented in all three states: good, sati...
Field Investigation of Flexible Pavement Rutting Damage Using the Transverse Surface Profile
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The pavement deterioration over time is demonstrating in several distresses types; however, flexible pavement rutting represent major failure mode. Recently, surface distress survey has conducted in the Egyptian road network showed that pavement rutting represent one of the main pavement distresses. This paper presents a case study of one road within the Egyptian road network that showed sign of major premature rutting. Identifying the pavement layer that cause the majority of rutting is important to properly prescribe the right treatment. Field investigation of the transverse surface profile as nondestructive simple method was carried out to locate the origin of the rutting within the pavement layers. The transverse surface profile at 10 sections was analyzed for Belbis - Zagazig road. The analysis of the transverse surface profile has proven a good diagnostic tool to determine where the majority of the rutting failure resulting from. The transverse surface profiles analysis of the...
Evaluating Flexible Pavement Rutting Damage Caused by Heavy Traffic Loads
2020
This research was under taken to evaluate road pavement sections experiencing serious rutting damage induced by heavy traffic vehicles and those experiencing little or no rutting damage. The research on the impact of heavy traffic loads on pavement rutting performance was conducted on HHI to Machinjiri junction (S137) road section using field investigations and surveys. The research incorporated traffic counts for heavy vehicles to confirm levels of heavy vehicle traffic on the road segment and to verify the high numbers of permits issued for truck loading. Field works on identification and quantification of pavement surface distresses by executing visual condition surveys were carried out allowing for the current pavement surface conditions to be rated using pavement condition degrees and severities. The research also utilized Dynamic Cone Penetrometer (DCP) test for rapid in situ measurements of the structural properties of the existing road pavement and therefore it accommodated ...
MULTILASER PROFILOMETER CERTIFICATION FOR MEASUREMENT OF RUTFLINING IN PAVEMENTS (Atena Editora)
MULTILASER PROFILOMETER CERTIFICATION FOR MEASUREMENT OF RUTFLINING IN PAVEMENTS (Atena Editora), 2023
The purpose of the validations and certification is to guarantee the reliability of the measurements, which will influence the analysis and approach of solution alternatives such as: underdesign or oversizing of the pavement structure, periodic maintenance or rehabilitation needs, and post-construction evaluations. to determine the probable causes of premature pavement deterioration. An initial evaluation of the pavement condition was made to identify potential sections for the execution of the evaluations. Differentiated pavement sections were identified with a range of rutting depths of: 5 mm, 10 mm, 15 mm, 20 mm and greater than or equal to 25 mm; in a test sector length of 350 m, which corresponds to 35 sample units of 10 m length. Three evaluators made manual measurements of the existing rutting, on the left and right tracks, of the 35 pavement sample units. Compilation of the cross section, depth and width of the rutting with the Multilaser profilometer, both in the left and right track of each section at speeds of 40 and 60 km/hour, repeating six (06) times for each speed.
Pavement Performance Measures Using Android-Based Smart Phone Application
Pavement roughness is a phenomenon experienced by the passenger and operator of a vehicle. It continuously deteriorates under the combined actions of traffic loading and the environment. The most common indicators of pavement performance are: fatigue cracking, surface rutting, riding quality, and skid resistance. It is very essential to evaluate the structural and functional condition of pavements to determine the present condition of the pavement. The models predicting pavement performance play an important role in financial planning and budgeting. Therefore it is essential to study the pavement deterioration factors to draw up the suitable maintenance strategies. This paper aims to investigate pavement roughness for improving the performance, using android based smart phone technology. The data on performance of in service flexible and rigid pavements of Hyderabad City were collected. In the study main distresses were identified from the selected road stretches each of 6km and 20km length. Eleven sets of data were already available from previous studies and additional one set is incorporated in this study. The data is analyzed for assessing the cracking progression, deflection growth, pothole progression and roughness index. The device recorded roughness index measure at a time interval of one second, as opposed to distance based. The raw data is presented in which reports a large variance in international roughness index (IRI) along the road length. This detailed low-level data exceeds the detail necessary of IQL-3/4 data, and therefore the raw unfiltered results from each direction were manually averaged over a one kilometer length. It is observed that the average IRI across the road length is similar despite the severe runs. The results thus obtained were compared with the roughness of the main road outside the city area and the roughness within the city. Regression models were then developed using SPSS (Statistical packages for social sciences) package for validation. The researched model if implemented by the construction agencies shall help in predicting pavement performance and help in protecting further deterioration of the roads with premature financial planning and budgeting.
National Study of Asphalt Pavement Rutting in Saudi Arabia
1995
Premature rutting has occurred on a number of recently built highways in Saudi Arabia. The Ministry of Communications, in an effort to solve the problem, has initiated a number of studies and has started to replace the affected pavement. The aim of the present study was to identify possible factors that may relate to rutting and to recommend maintenance and repair criteria for existing rutted pavements. The study covers 19 sections of 11 major highways. Results indicate a direct relationship between rutting and the percentage of air voids, the percentage of voids in mineral aggregate, the percentage of voids filled with asphalt, the resilient modulus at 25 deg C, and asphalt viscosity. These properties were used as bases for determination of maintenance criteria as well as the criteria for mixes required to resist rutting on Saudi roads.
International Journal of Engineering Research and Technology (IJERT), 2013
https://www.ijert.org/a-simple-method-on-measuring-road-pavement-damage-for-access-road-to-residential-estates https://www.ijert.org/a-simple-method-on-measuring-road-pavement-damage-for-access-road-to-residential-estates The ability of a road pavement structure in carrying out its function reduces in line with the increase traffic loading especially of overloaded heavy vehicle is one of the serious problems for maintain road pavement if the situation went uncontrolled. In Malaysia for instance, at present there is no official restriction on which roads that these heavy vehicles can use although road pavement are designed to sustain vehicle loading according to their respective categories. Heavy vehicles are not wanted in residential areas and these lead to resident association illegally put up barriers at the entry and exit points of the access road in the residential estate. The severity of the problem post by heavy vehicle to the residential access roads, classified as JKR U2 roads is never scientifically measured and this trigger the urgency for this study.
Effects of Material Characteristics on Flexible Pavement Rutting Phenomena in Gujarat
Innovative Research in Transportation Infrastructure, 2018
Material properties play avital role to determine the structural and functional performance of pavement layers during its service life. Pavement deformation or rutting is one of the key distress that affects the pavement performance. The strength parameters of subgrade and granular layer are correlated with the permanent deformations characteristics. Theindividualeffect in addition to combined effectof various combinations are considered to estimate rutting using multi linear regression (MLR) and artificial neural network (ANN) techniques. The data was collected in staggered position at every kilometer of a national highway stretch. The characteristic deflection, field dry density, modified liquid limit, California bearing ratio (CBR) were correlated individually with the rutting measurement and sensitivity analysis also performed. The impact of fines and dynamic behavior of soil response are considered in four possible combinations and correlated with rutting. The result shows that characteristic deflection, field dry density, modified liquid limit and modulus of elasticity of subgrade, and granular layer individually consists good relation with rutting except liquid limit. A good correlation was obtained supporting the validity of R 2 values of ANN for subgrade and granular layer 0.84 and 0.86 respectively for combinations of parameters. Likewise, results of R 2 values for MLR models obtained are 0.70 and 0.79, for the given layers subsequently comparing the R 2 values of MLR and ANN it is concluded that ANN models are more efficient than MLR.
PAVEMENT CONDITION ANALYSIS USING GIS A CASE STUDY OF PRITHIVI HIGHWAY (POKHARA TO KOTRE
Geo-World, 2018
Reliable and effective data are required in each stage of planning highway, maintenance & various evaluations such as to identify problems, risk factors, priority treatments, formulate strategy, set targets and monitor performance. Current available raw data are not sufficient for the effective evaluation. These data when properly coded and visualized, processed and analyzed in a systematic way could give a better understanding. This project has carried out pavement condition survey creating a data base, evaluating pavement, predicting pavement performance, prioritizing the needs and developing work program to prepare highway pavement condition mapping by use of GIS(Geographic Information System). This output result can be used to satisfy the requirements of a highway network evaluation and thereby enhancing the efficient performance of the pavement of road by effective maintenance.